Degree

Master of Science in Computer Science

Department

Department of Computer Science

School

School of Mathematics and Computer Science (SMCS)

Date of Submission

Fall 2024

Supervisor

Dr. Imran Rauf, Assistant Professor and Program Coordinator, Undergrad Programs (CS), Department of Computer Science

Keywords

Inventory Optimization, Stock Transfers, Regression Analysis, Demand Forecasting, Shipping Cost Reduction, Inventory Allocation, Supply Chain Efficiency

Abstract

The Centralized Inventory Assessment & Stock Transfers project aims to optimize inventory management across multiple locations to avoid stockouts and overstocking. Using historical sales data and regression analysis, the system predicts future demand and determines inventory requirements for each site. Inventory allocation is achieved by prorating available stock at fulfillment sites and prioritizing urgent needs with express delivery while using cargo delivery for the remainder. The project further highlights cost minimization through deliberate shipping options while optimizing the operation effectiveness by streamlining processes to enable employees to focus on strategic activities. The report outlines the methodology, results achieved, problems encountered, and learnings that would be very useful for subsequent implementation in practice.

Document Type

Restricted Access

Submission Type

Research Project

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